Advances in Knowledge Discovery and Data Mining

Table of Contents

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   Book Overview
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   Chapter 1 Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation
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   Chapter 2 Hybrid Sampling with Bagging for Class Imbalance Learning
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   Chapter 3 Sparse Adaptive Multi-hyperplane Machine
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   Chapter 4 Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior
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   Chapter 5 Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning
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   Chapter 6 Locally Weighted Ensemble Learning for Regression
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   Chapter 7 Reliable Confidence Predictions Using Conformal Prediction
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   Chapter 8 Grade Prediction with Course and Student Specific Models
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    Chapter 9 Flexible Transfer Learning Framework for Bayesian Optimisation
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    Chapter 10 A Simple Unlearning Framework for Online Learning Under Concept Drifts
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    Chapter 11 User-Guided Large Attributed Graph Clustering with Multiple Sparse Annotations
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    Chapter 12 Early-Stage Event Prediction for Longitudinal Data
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    Chapter 13 Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework
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    Chapter 14 Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine
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    Chapter 15 Will I Win Your Favor? Predicting the Success of Altruistic Requests
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    Chapter 16 Unsupervised and Semi-supervised Dimensionality Reduction with Self-Organizing Incremental Neural Network and Graph Similarity Constraints
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    Chapter 17 Cross-View Feature Hashing for Image Retrieval
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    Chapter 18 Towards Automatic Generation of Metafeatures
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    Chapter 19 Hash Learning with Convolutional Neural Networks for Semantic Based Image Retrieval
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    Chapter 20 Bayesian Group Feature Selection for Support Vector Learning Machines
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    Chapter 21 Active Distance-Based Clustering Using K-Medoids
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    Chapter 22 Analyzing Similarities of Datasets Using a Pattern Set Kernel
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    Chapter 23 Significant Pattern Mining with Confounding Variables
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    Chapter 24 Building Compact Lexicons for Cross-Domain SMT by Mining Near-Optimal Pattern Sets
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    Chapter 25 Forest CERN: A New Decision Forest Building Technique
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    Chapter 26 Sparse Logistic Regression with Logical Features
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    Chapter 27 A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders
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    Chapter 28 Preconditioning an Artificial Neural Network Using Naive Bayes
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    Chapter 29 OCEAN: Fast Discovery of High Utility Occupancy Itemsets
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    Chapter 30 Leveraging Emotional Consistency for Semi-supervised Sentiment Classification
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    Chapter 31 The Effect on Accuracy of Tweet Sample Size for Hashtag Segmentation Dictionary Construction
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    Chapter 32 Social Identity Link Across Incomplete Social Information Sources Using Anchor Link Expansion
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    Chapter 33 Discovering the Network Backbone from Traffic Activity Data
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    Chapter 34 A Fast and Complete Enumeration of Pseudo-Cliques for Large Graphs
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    Chapter 35 Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization
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    Chapter 36 Link Prediction in Schema-Rich Heterogeneous Information Network
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    Chapter 37 FastStep: Scalable Boolean Matrix Decomposition
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    Chapter 38 An Expert-in-the-loop Paradigm for Learning Medical Image Grouping
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    Chapter 39 Predicting Post-operative Visual Acuity for LASIK Surgeries
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    Chapter 40 LBMF: Log-Bilinear Matrix Factorization for Recommender Systems
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    Chapter 41 An Empirical Study on Hybrid Recommender System with Implicit Feedback
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    Chapter 42 Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling
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    Chapter 43 TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media
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    Chapter 44 Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning
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    Chapter 45 Effective Local Metric Learning for Water Pipe Assessment
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    Chapter 46 Classification with Quantification for Air Quality Monitoring
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    Chapter 47 Predicting Unknown Interactions Between Known Drugs and Targets via Matrix Completion